Prof. Dr. Fredj JAWADI |
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Prof. Dr. Fredj JAWADI Associate Professor of Economics (MCF-HDR) at the University of Evry, and a Researcher Fellow at EconomiX-CNRS (University of Paris West) in France. Also, He is a Deputy Director for CAC (Cliometrics and Complexity Team at IXXI Complex Systems Institute, http://www.ixxi.fr/?p=3219) in France. In addition, he is an Officer of the Society for Economic Measurement in the U.S. (http://sem.society.cmu.edu/home.html ), and a Research Fellow at the Economic Research Forum (ERF). His research focuses on Financial Economics (Financial Markets, Empirical Finance, Market Microstructure, Islamic Finance, Monetary Policy, Macroeconomics), & Applied Econometrics (Time Series, Nonlinear Dynamics, Macroeconometrics,Panel Data). He has over seventy papers published in various International Journals and co-authored and co-edited several books and book chapters. He has also served as an Associate Editor or a Subject Editor in several Journal and Chairman of two International Conferences: The first one covers topics on Computational Economics (International Symposium in Computational Economics and Finance (www.iscef.com ), while the second one looks at the recent developments in financial and nonlinear econometrics: International Workshop on Financial Markets and Nonlinear Dynamics (www.fmnd.fr). (for details see the web page). |
Prof. Dr. Joerg Breitung |
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Prof. Dr. Joerg Breitung
Institut für Ökonometrie und Statistik. Universität zu Köln
(for details see the web page). |
Dr. Travis J. Berge |
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Senior Economis, Dr. Travis J. Berge
Current Macroeconomic Conditions Section. Research and Statistics. Senior Economist, Board of Governors of the Federal Reserve System (2015-present)
(for details see the web page). |
Dr. Anna Korzeniewska |
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Dr. Anna Korzeniewska
Talk Title: Event Related Causality analysis of electrocorticographic (ECoG) time series as diagnostic tool for epileptic surgery
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Dr. Joan Paredes |
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Senior Scientist, Dr. Joan Paredes
Dr. Joan Paredes, Economist, Functions:
(for details see the web page). |
Dr. Pekka Koponen |
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Senior Scientist, Dr. Pekka Koponen Dr. Veli Pekka Koponen is a senior scientist at VTT Technical Research Centre of Finland. He joined VTT in 1988 and has there developed various issues related to the customer connections of energy networks and markets, such as demand side management, demand response, aggregation of distributed energy resources (DER) for the markets, distributed ancillary service provision, smart metering requirements, modelling, forecasting and optimization of the operation of DER comprising consumption, storages, generation and micro-grids, energy management, requirements and measurement methods for power quality monitoring, electromagnetic compatibility, grid connection requirements, requirements for communication with DER and related cyber security and data privacy issues. He has received the following degrees: in 2002 Doctor of Technology in Power Engineering from Tampere University of Technology, in 1986 Licentiate of Technology in Control Engineering and in 1981 M.Sc. Tech. in Control Engineering both from Helsinki University of Technology, which is now Aalto University. He has participated in the International Energy Agency Demand Side Management Implementing Agreement (IEA DSM IA) as a national expert both in its tasks and Executive Committee. Now he represents VTT in the national subcommittee of the IEC TC8 on system aspects of power systems. He has contributed in several projects regarding forecasting and optimization of the control responses of the demand. In his first projects at VTT the focus was on the energy management and trading of large base metal companies but in 1996 his main focus shifted to enabling the use of aggregated flexibilities of small residential electricity consumers for the electricity markets and grids. Now he works in the project “Improved Modelling of Electric Loads for Enabling Demand Response by Applying Physical and Data-Driven Models” (RESPONSE) that spans 2015 – 2018 and is funded by the Academy of Finland . He alsoparticipates in an EU H2020 project SmartNet that studies future TSO-DSO interaction schemes, market architectures and ICT solutions for the integration of power system ancillary services (provision of flexibility and fast reserves) from the demand side management and distributed generation. |
Prof. Dr. Philipp Sibbertsen |
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Prof. Dr. Philipp Sibbertsen
Academmic Positions |
Prof. Dr. Gerhard Rünstler |
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Prof. Dr. Gerhard Rünstler
Academmic Positionss |
Prof. Dr. Michael Graff |
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Prof. Dr. Michael Graff
My research is directed to various fields of Economics with emphasis on macroeconomic topis related to economic performance and growth. I am engaged in comparative analyses of educational, financial political and socioeconomic systems and their effects on economic performance. Recently I have extended this research programme to the significance of different legal traditions in shaping the monetary and financial system.
Moreover, I am working on monetary policy, trade policy, international business cycles, and economic forecasting. |
Prof. Dr. Kalle Saastamoinen |
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Prof. Dr. Kalle Saastamoinen
Currently working as a senior lecturer in National Defence University,
Helsinki. Ph.D. of applied mathematics since 2008 from Lappeenranta
University of Technology. My research interests are computational
logic and its applications, AI based expert systems, data classification,
military technology research, teaching technology and its usage. Recent
years I have concentrated in my teaching tasks in Defence University and
tutoring of military research related to operational analysis, mathematical
modelling and simulation. |
Prof. Dr. Rebecca Killick |
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Dr. Rebecca Killick
Lecturer in Statistics at Lancaster University. Her research interests include:
nonstationary time series,
changepoints,
multiscale methods in statistics,
applications of wavelets in time series analysis and
time series that arise from energy applications. |
Prof. Daniel Peña Sanchez De Rivera. |
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Prof. Daniel Peña Sanchez De Rivera. Title of the Talk: Dimension reduction and forecasting in large data sets of time series Daniel Peña was born in Madrid in 1948. He received his PhD in Industrial Engineering from the Polytechnic University of Madrid, Bachelor’s Degrees in Sociology and Statistics from the Complutense University of Madrid and Business Administration ITP from Harvard. President of Carlos III University of Madrid in the period 2007- 2011 and re-elected in March 2011. He was Director of the Management Committee (1993-2000) and Vice Rector of the Carlos III University of Madrid (1992- 1995), where he is Full Professor of the Department of Statistics. He has also been Full Professor at the Polytechnic University of Madrid, the University of Wisconsin- Madison and the University of Chicago. He is Founding Director of the Quantitative Methods Department of the EOI Business School, of the Statistics Laboratory of the ETSII-UPM (the Higher Technical School for Industrial Engineering at the Polytechnic University of Madrid), as well as the Department of Economics and Statistics and Econometrics of the Carlos III University of Madrid. He has been Director of the “Revista Estadística Española” and President of the Spanish Society of Statistics and Operative Research (Sociedad Española de Estadística e Investigación Operativa). In the same field, he stands out as the Founding President of the Statistical Methods Committee of the Spanish Association for Quality and member of the State High Council of Statistics, Vice President of the Inter-American Institute of Statistics and President of European Courses in Advanced Statistics. He has published thirteen books and more than 190 research articles on Statistics, Quality and its Applications. He is Associate Editor of several international journals and has received national and international awards for research. In 2006 he received the Youden Award for the best article published in “Technometrics”. He is an honorary member of prestigious international associations such as the Institute of Mathematical Statistics and the American Statistical Association. This information is from: Daniel Peña Sanchez De Rivera (UC3M) |
Prof. Siem Jan Koopman |
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Prof. Siem Jan Koopman SJK is Professor of Econometrics at the Vrije Universiteit Amsterdam and research fellow at the Tinbergen Institute, both since 1999. Furthermore, he is a long-term Visiting Professor at CREATES, University of Aarhus and a Visiting Researcher at the European Central Bank, Financial Research. Since 2013, he is a Journal of Applied Econometrics Distinguished Author. He held positions at the London School of Economics between 1992 and 1997 and at the CentER (Tilburg University) between 1997 and 1999. In 2002 he visited the US Bureau of the Census in Washington DC as an ASA / NSF / US Census / BLS Research Fellow. Furthermore, he was a Fernand Braudel Senior Fellow at the Department of Economics, European University Institute, Florence, Italy, in 2010. His Ph.D. is from the LSE and dates back to 1992. The monograph Time Series Analysis by State Space Methods is written by J. Durbin and SJK. The book originally appeared in 2001. The Second Edition is recently published by Oxford University Press, in May 2012. The Durbin & Koopman 2012 book consists of 368 pages. The book An Introduction to State Space Time Series Analysis appeared in 2007 and is written by J.J.F. Commandeur and SJK. His other books (co-authored, software and editorial) are listed here The research interests of SJK cover topics in statistical analysis of time series, financial econometrics, simulation-based estimation, Kalman filter, economic forecasting and, more generally, time series econometrics. His number of publications in refereed journals since 1992 is 75 while his work includes 29 entries in books and discussions. His current citation h-index at Thomson Reuters is 18 and at Google Scholar is 37. He fullfills editorial duties at the Journal of Applied Econometrics and the Journal of Forecasting. Finally he is an OxMetrics software developer and is actively engaged in the development of the time series software packages STAMP and SsfPack. |
Prof. DI Dr. Manfred DEISTLER |
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Em.O.Univ.Prof. DI Dr. Manfred DEISTLER. Title of the Talk: Regular and Singular AR and ARMA Models, The Single and The Mixed Frequency Case: A Structure Theory. em.O.Univ.Prof. DI Dr. Manfred DEISTLER is Professor at the Vienna University of Technology, in the Institute of Statistics and Mathematical Methods in Economics. The Unit is: Econometrics and System Theory, in Wiedner Hauptstrasse 8-10, A-1040 Vienna, AUSTRIA. RESEARCH INTERESTS: Identification of linear dynamical systems in ARMA and state space representation, structure and estimation, in particular in the multivariate case, data driven local coordinates, subspace identification Identification of linear dynamical factor- and errors-in-variables models, in particular structure theory Analysis and prediction of financial time series Analysis and prediction of business and market data Analysis of load and price time series for electricity markets PROJECTS: Principal investigator of the FWF project P-17065 Identification of multivariate Dynamic Systems Teamleader of the team TUWIEN of the european research project ERNSI Co-initiator of and group leader at the industrial mathematics competence center, IMCC, Linz Member of the austrian academy of sciences Fellow of the econometric society Fellow of the Journal of Econometrics IEEE Fellow |